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Associate Director Product Management

Application ends: October 8, 2026
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Job Overview

  • Date Posted
    July 8, 2026
  • Location
    Remote
  • Expiration date
    October 8, 2026

Job Description

JOB  DETAILS

Requirements
  • To be eligible for this position, you must reside in the same country where the job is located.
  • Bachelor’s degree required.
  • US Remote with approximately 10% travel required.
  • Experience working with enterprise life sciences and pharmaceutical customers or regulated data products.
  • 7+ years’ experience as a Product Owner/Senior PO (or equivalent PM role) delivering software/data products at scale with demonstrated success managing and developing Product Owners or similar IC product roles.
  • Strong backlog management, story writing, and acceptance‑criteria discipline; expert in agile/lean delivery practices.
  • Product marketing experience, preferably in AdTech, MarTech, or digital marketing solutions, with exposure to healthcare/life sciences marketing.
  • Proven ability to partner with PMs: executing against strategy, flagging risks, and translating outcomes into releasable increments.
  • Excellent communication and facilitation skills across engineering, data, UX, privacy, and customer‑facing teams.
  • Experience with audience segmentation and targeting products, behavioral data, or digital engagement signals, AI/ML, or predictive modeling (practical application vs theory)
Responsibilities
  • Develop and coach Product Owners, each owning a distinct set of features within AIMXR.
  • Establish clear goals, operating rhythms, and delivery standards for the PO team (definition of ready/done, acceptance criteria, discovery cadences).
  • Ensure consistency in requirements quality, backlog hygiene, and release readiness across feature areas.
  • Promote a culture of customer empathy, measurable outcomes, and continuous improvement.
  • Partner with PMs to understand market problems, target segments, and outcome goals; convert PM‑defined strategy into executable product plans (epics, features, releases).
  • Contribute actionable input during planning (risks, dependencies, sequencing) while keeping alignment with PM‑owned strategy and prioritization.
  • Translate business objectives into clear success metrics and acceptance criteria for delivery teams.
  • Own near‑ and mid‑term roadmaps for assigned AIMXR components; maintain transparent views of scope, dependencies, and release timing.
  • Lead backlog refinement, story mapping, and estimation with engineering; ensure stories are testable, valuable, and trace to outcomes.
  • Make day‑to‑day tradeoffs on scope and sequencing to protect delivery dates and quality, escalating strategic reprioritization decisions to PMs as appropriate.
  • Partner with engineering, data science, and architecture to shepherd features from discovery through GA; clarify requirements, edge cases, and non‑functional needs.
  • Coordinate with privacy/governance partners to incorporate compliance requirements into definitions of done.
  • Align with documentation, enablement, and GTM teams to ensure feature readiness (release notes, guides, training materials, and internal demos).
  • Serve as a senior product point‑of‑contact for internal stakeholders and select client conversations to explain capability behavior, roadmap intent, and release plans.
  • Collect feedback from users, delivery, and support teams; synthesize into user stories and backlog updates.
  • Validate outcomes post‑launch via telemetry and customer feedback, and feed learnings back into PM‑owned strategy discussions.
  • Define and track feature‑level KPIs (adoption, utilization, performance, quality).
  • Run lightweight experiments and A/B validations where applicable; socialize results and next steps.
  • Improve team flow (lead time, throughput, predictability) and strengthen discovery/delivery practices across your PO team.
Desired Qualifications
  • Experience with large‑scale data/analytics platforms, identity resolution, or contextual intelligence.
  • CSPO / CSPM certification for agile/scrum, preferred.
  • Familiarity with cloud data stacks (e.g., AWS, Snowflake) and data governance/privacy considerations.

 

 

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